code: def generate_callgrind_artifacts() -> None:
      """Regenerate `callgrind_artifacts.json`
  
      Unlike the expect tests, regenerating callgrind counts will produce a
      large diff since build directories and conda/pip directories are included
      in the instruction string. It is also not 100% deterministic (due to jitter
      from Python) and takes over a minute to run. As a result, running this
      function is manual.
      """
      print("Regenerating callgrind artifact.")
  
      stats_no_data = benchmark_utils.Timer(
          "y = torch.ones(())"
      ).collect_callgrind(number=1000)
  
      stats_with_data = benchmark_utils.Timer(
          "y = torch.ones((1,))"
      ).collect_callgrind(number=1000)
  
      user = os.getenv("USER")
  
      def to_entry(fn_counts):
          return [
              f"{c} {fn.replace(f'/{user}/', '/test_user/')}"
              for c, fn in fn_counts
          ]
  
      artifacts = {
          "baseline_inclusive": to_entry(
              stats_no_data.baseline_inclusive_stats
          ),
          "baseline_exclusive": to_entry(
              stats_no_data.baseline_exclusive_stats
          ),
          "ones_no_data_inclusive": to_entry(
              stats_no_data.stmt_inclusive_stats
          ),
          "ones_no_data_exclusive": to_entry(
              stats_no_data.stmt_exclusive_stats
          ),
          "ones_with_data_inclusive": to_entry(
              stats_with_data.stmt_inclusive_stats
          ),
          "ones_with_data_exclusive": to_entry(
              stats_with_data.stmt_exclusive_stats
          ),
      }
  
      with open(CALLGRIND_ARTIFACTS, "w") as f:
          json.dump(artifacts, f, indent=4)
  
imports: import collections
  import json
  import os
  import re
  import textwrap
  import timeit
  from typing import Any, List, Tuple
  import unittest
  import torch
  import torch.utils.benchmark
  from torch.testing._internal.common_utils import TestCase, run_tests, IS_SANDCASTLE, IS_WINDOWS, slowTest, TEST_WITH_ASAN
  import expecttest
  import numpy
label_desc: Use image node_id 1 for calling a global function with example usage: generate_callgrind_artifacts() and returns: unknown